Big Data Analytics Made Easy
Language: English
Published by Notion Press, Inc., 2016
- Softcover
- New

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- Title
- Big Data Analytics Made Easy
- Author
- Y. Lakshmi Prasad
- Publisher
- Notion Press, Inc.
- Publication year
- 2016
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1946390712
- ISBN 13
- 9781946390714
Big Data Analytics Made Easy is a must-read for everybody as it explains the power of Analytics in a simple and logical way along with an end to end code in R. Even if you are a novice in Big Data Analytics, you will still be able to understand the concepts explained in this book. If you are already working in Analytics and dealing with Big Data, you will still find this book useful, as it covers exhaustive Data Mining Techniques, which are considered to be Advanced topics.
It covers Machine Learning concepts and provides in-depth knowledge on unsupervised as well as supervised Learning, which is very important for decision-making. The toughest Data Analytics concepts are made simpler, It features examples from all the domains so that the reader gets connected to the book easily. This book is like a personal trainer that will help you master the Art of Data Science.
It covers Machine Learning concepts and provides in-depth knowledge on unsupervised as well as supervised Learning, which is very important for decision-making. The toughest Data Analytics concepts are made simpler, It features examples from all the domains so that the reader gets connected to the book easily. This book is like a personal trainer that will help you master the Art of Data Science.
"Synopsis" may belong to another edition of this title.
About the Author
Y. L. Prasad, a Big Data Analytics Consultant and Corporate Trainer has around seventeen years of experience in Clinical Research, implementing SAS and R programming and dealing with Big Data Analytics. He belongs to the Indian School of Business (ISB CBA) Batch and is well-versed in tools like Hadoop, Python, SAS, Tableau, R and many others, to extract insights from both unorganized and organized data.
"About the title" may belong to another edition of this title.
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